# rbfkernel_b

From Spectrum v0.2
by Christopher John

##### rbfkernel_b: fast self-tuning kernel

rbfkernel_b: fast self-tuning kernel

##### Usage

`rbfkernel_b(mat, K = 3, sigma = 1)`

##### Arguments

- mat
Matrix: matrix should have samples as columns and rows as features

- K
Numerical value: the number of nearest neighbours to use when calculating local sigma

- sigma
Numerical value: a global sigma, usually left to 1 which has no effect

##### Value

A kernel matrix

##### Examples

```
# NOT RUN {
stsc_kern <- rbfkernel_b(blobs[,1:50])
# }
```

*Documentation reproduced from package Spectrum, version 0.2, License: AGPL-3*

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